An Analysis of Suitable Landfill Site For Akure South Local Government Area Using GIS

An Analysis of Suitable Landfill Site For Akure South Local Government Area Using GIS

Authors

  • G. O. Awogbade Department of Remote Sensing and Geoscience Information System, Federal University of Technology Akure, Ondo State, Nigeria
  • S. O. Oladejo Department of Remote Sensing and Geoscience Information System, Federal University of Technology Akure, Ondo State, Nigeria

DOI:

https://doi.org/10.51459/jostir.2025.1.1.02

Keywords:

Landfill, Dumpsite, Suitability, TOPSIS, MCDA

Abstract

This study was carried out to determine places that are suitable to site new landfills within Akure South local government since the current ones are no longer suitable where they were located. This objective was achieved by employing the TOPSIS multi-criteria decision model. Ten decision criteria were used in a GIS environment in order to generate the overall suitability map. These criteria include: land use/land cover, elevation, slope, soil, geology, well points, water ways, built-ups, existing dumpsites and road network. The suitability map showed that the existing dumpsites were sited in an unsuitable location. It also showed that 61% of the study area is not suitable which covers about 191km2, while 5% is moderately suitable and about 33% is found suitable which covers 101km2. The result indicated that suitable sites were majorly in areas outside the city such as Ita Oniyan, Ita Oniga, Oke Agbe, Alademehin and Adun with south of Akure city such as Kajola and Egbeda. Therefore, it was recommended that necessary action should be taken by the planning management to ensure that the existing dumpsites were evacuated from within the city and for new landfills to create in order to reduce the resulting effects from landfill hazards.

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Published

2025-07-30

How to Cite

Awogbade, G. O., & Oladejo, S. O. (2025). An Analysis of Suitable Landfill Site For Akure South Local Government Area Using GIS. Journal of Science, Technology and Innovation Research, 1(1). https://doi.org/10.51459/jostir.2025.1.1.02

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